Browsing Department of Industrial, Manufacturing, and Systems Engineering by Author "Wang, Shouyi"
Now showing items 1-9 of 9
-
Discriminating Parkinson's disease using functional connectivity and brain network analysis
Gellerup, Daniel (2016-05-10)In this study, we explored the use of functional connectivity patterns in fMRI data to classify subjects on the basis of Parkinson's disease. We explore various brain networks and features. We partition our fMRI data in 5 ... -
Evaluating the Impacts of Sleep Disruptions in Women through Automated Analysis (SJSL Framework)
Gupta, Shalini (2016-07-27)The proposed research suggests a solution for female sleep disruption by using automated analytics and attempts to improve our understanding of sleep disruption physiology. Although, sleep disruption monitoring is gaining ... -
Exploring Deep Learning in Finance
Deshpande, Abhijit Anand Anand; 0000-0003-1427-2210 (2022-05-20)Financial market analysis is process of analyzing market closely and predict the next move of market whether it will go up or down using historical data. Financial market is stochastic and has rapid changes over time, ... -
MULTIVARIATE TIME SERIES PATTERN RECOGNITION USING MACHINE LEARNING AND DEEP LEARNING METHODS
Devar, Sai Abhishek (2019-12-16)In this research work, we have implemented machine learning & deep-learning algorithms on real-time multivariate time series datasets in the manufacturing & health care fields. The research work is organized in two ... -
Predicting the Performance of Cryotherapy for Wart Treatment Using Machine Learning Algorithms
Rahman, Mamunur; Wang, Shouyi; Zhou, Yuan; Rogers, Jamie (2019)**Please note that the full text is embargoed** ABSTRACT: Warts are non-cancerous tumors that can appear on the top layer of skin of different parts of the human body. For the treatment of warts, cryotherapy, a method of ... -
Proposing a Sparse Weighted Directed Network Construction Method and a Novel Mutual-Information based Sparse Feature Selection Algorithm for Multivariate Time-series Analysis and its Application in Medical Diagnostic Problems
Hosseini, Rahilsadat; 0000-0002-6056-2502 (2018-08-24)The main purpose of this study is feature engineering/learning from multivariate (MV) time-series to achieve a more interpretable model by dimension reduction. This aim is fulfilled in 2 main parts. In part 1, we proposed ... -
Sparse Representation and Learning for Discriminative EEG Source Imaging
Liu, Feng; 0000-0002-5225-8199 (2018-05-07)As a direct measurement modality of neural electrical firing patterns, electroencephalogram (EEG) has a much higher temporal resolution up to millisecond compared to positron emission topography (PET) and functional magnetic ... -
Supervised Sparse Learning with Applications in Bioinformatics
Puk, Kin Ming; 0000-0002-6432-101X (2018-08-23)In machine learning and mathematical optimization, sparse learning is the use of mathematical norms such as L1-norm, group norm and L21-norm in order to seek a trade-off between the goodness-of-fit measure and sparsity of ... -
Wart Treatment Decision Support Using Support Vector Machine
Rahman, Md. Mamunur; Zhou, Yuan; Wang, Shouyi; Rogers, Jamie (MECS (http://www.mecs-press.org/index.html), 2020-02)**Please note that the full text is embargoed** ABSTRACT: Warts are noncancerous benign tumors caused by the Human Papilloma Virus (HPV). The success rates of cryotherapy and immunotherapy, two common treatment methods for ...